News release overview
Self-developing AI service “Happiness Planet FIRA” goes live, promising to transform management discussions
Generates deeper insights and creative solutions through discussions among 600 specialized AI agents, enabling co-creative management by humans and AI
Tokyo, August 26, 2025 – Happiness Planet, Ltd. (“Happiness Planet”) and Hitachi, Ltd. (TSE: 6501, “Hitachi”) have jointly developed a self-developing generative artificial intelligence (AI) capable of autonomously generating deeper insights and creative perspectives through discussions among hundreds of AI agents. Making use of the developed generative AI, Happiness Planet today began offering a self-developing AI service, “Happiness Planet FIRA”*1 (“FIRA”).
Conventional generative AI is limited in its ability to generate deep insights and creative perspectives that go beyond the provided training data. FIRA, applying proprietary technology from Happiness Planet and Hitachi, employs 600 types of AI agents specializing in various fields. Through autonomous discussion, they can generate deep insights and creative options geared to individual management issues without depending on user-specific data. As an intelligence amplifier*2 that expands human thinking, FIRA is applicable to a wide range of management situations, from devising management plans to handling investor relations (IR), coming up with new business ideas, formulating sales strategies, and improving the quality of management meetings. As an intelligent partner for senior executives and corporate planners, FIRA will contribute toward the sustainable growth of companies.
*1 FIRA takes its name from Firenze (Florence), where the Renaissance began through interaction among various people, and arche, the first principle from which other principles arise.
*2 A concept, proposed by Doug Engelbart in 1962, of AI augmenting and expanding human intellect rather than replacing it.
Figure 1. Overall illustration of FIRA, in which 600 types of uniquely talented AI agents achieve self-development on the spot through intensive discussions with each other along the lines of the themes provided
Figure 2. Answers provided by major generative AI models (13 models in common use globally) and those provided by FIRA were objectively assessed on 10 management issues. The management assistance score is a benchmark where low marks are given to answers that anyone could come up with easily based on general thinking and high marks to those that deeply expand the user’s thinking.
